§VII-C, unnumbered simultaneous deterministic-code extraction
OpenQAlgorithms.Papers.Independent.Intakethird100.P76.deterministic_code_extractionLet be a finite ensemble with nonnegative masses summing to one. Let be its realized-code error and leakage statistics. A code in the support simultaneously satisfies
The statement holds for arbitrary nonnegative statistics, including zero ensemble means.
It supplies a deterministic simultaneous selection with finite factor 3. It does not supply the separate entropy-rate condition or finite-block exponential bounds with prefactor one.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P76
namespace QAlgorithms.Papers.Independent.Intakethird100.P76
noncomputable section
open scoped BigOperators
open Filter Set
attribute [local instance] Classical.propDecidable
-- Exact pinned primitives, inspected at their definitions before reuse.
open QAlgorithms.Papers.Independent.Information100.P56 (IsLaw)
open QAlgorithms.Papers.Independent.Frontier30.P12 (IsStochastic)
variable {S X Y Z : Type} [Fintype S] [Fintype X] [Fintype Y] [Fintype Z]
[Nonempty S] [Nonempty X] [Nonempty Y] [Nonempty Z]
variable {n u w : ℕ}
/-- PDF pp.15--16: simultaneous extraction from one finite ensemble.
Printed: strict <3*mean bounds and dotted exponential-order comparisons.
Changed: weak <=3*mean bounds with positive ensemble mass. Why: zero mean
forces zero on support, so strict <3*0 is impossible. The finite factor 3 is
retained; no finite-block exponent prefactor one or entropy claim is added. -/
theorem deterministic_code_extraction {C : Type*} [Fintype C]
(p e l : C → ℝ) (hp : IsLaw p) (he : ∀ c, 0 ≤ e c) (hl : ∀ c, 0 ≤ l c) :
∃ c, 0 < p c ∧ e c ≤ 3 * (∑ d, p d * e d) ∧
l c ≤ 3 * (∑ d, p d * l d) := by sorry
end
end QAlgorithms.Papers.Independent.Intakethird100.P76
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
For every finite type , every probability distribution , meaning for every and , and every pair of functions satisfying and for every , there exists such that
Both bounds hold for the same , and either weighted average may be zero. Although is not explicitly assumed nonempty, the probability-distribution hypothesis excludes the empty case.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.